One-class SVM with privileged information and its application to malware detection E Burnaev, D Smolyakov 2016 IEEE 16th International conference on data mining workshops (ICDMW …, 2016 | 90 | 2016 |
Model selection for anomaly detection E Burnaev, P Erofeev, D Smolyakov Eighth International Conference on Machine Vision (ICMV 2015) 9875, 445-450, 2015 | 33 | 2015 |
Meta-learning for resampling recommendation systems D Smolyakov, A Korotin, P Erofeev, A Papanov, E Burnaev Eleventh International Conference on Machine Vision (ICMV 2018) 11041, 472-484, 2019 | 26 | 2019 |
Anomaly pattern recognition with privileged information for sensor fault detection D Smolyakov, N Sviridenko, E Burikov, E Burnaev IAPR Workshop on Artificial Neural Networks in Pattern Recognition, 320-332, 2018 | 19 | 2018 |
Learning ensembles of anomaly detectors on synthetic data D Smolyakov, N Sviridenko, V Ishimtsev, E Burikov, E Burnaev Advances in Neural Networks–ISNN 2019: 16th International Symposium on …, 2019 | 13 | 2019 |
Model selection for anomaly detection D Smolyakov, P Erofeev, E Burnaev, A Verikas, P Radeva, D Nikolaev Proc. SPIE 9875, 2015 | 8 | 2015 |
Одноклассовая машина опорных векторов с использованием привилегированной информации Е Бурнаев, Д Смоляков | 1 | |
Sequential Minimal Optimization Algorithm for One-Class Support Vector Machines With Privileged Information A Lange, D Smolyakov, E Burnaev IEEE Access 11, 128106-128124, 2023 | | 2023 |